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About EconData

EconData is an econometric data services platform from Codera Analytics that enables automation of analytical workflows that depend on public domain or third-party data. It combines African economic and financial data, automatable data, and automatable workflows so users can effectively manage complex analyses. The platform is designed to facilitate data-driven decision-making by allowing analysts to automate repetitive tasks and focus on strategic activities. EconData supports importing data from various sources, customizing analytical models, and generating forecasts that are essential for research and business planning. Key capabilities: African economic data automatable workflows data integration customizable models forecasting tools Best for: analysts and researchers that need efficient processing of economic and financial data.

EconData Details

Vendor
Codera Analytics
Year Launched
2016
Location
Cape Town, South Africa.
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English
Users
Economists, Financial analysts, Government researchers, Data scientists
Industries Served
Finance, Government, Academia, Industry
Tags
Financial Data & Analytics, Business Intelligence (BI), Data Management & ETL

EconData's In-App Market Place

Does EconData have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Rand (R)

Pros & Cons

  • Centralizes economic time series data for easier access and research
  • Helps automate data workflows using Excel R or Python packages
  • Supports historic vintages and updatable series for forecasting workflows
  • Integrates public domain and proprietary data into unified datasets
  • Makes complex macroeconomic datasets easier to query and analyze
  • Requires subscription for premium or larger datasets for commercial use
  • Best value requires some coding skill in R Python or Excel add-ins
  • Not optimized for non-economic data use cases or general analytics
  • Initial learning to query and automate data may take time
  • Data coverage varies by module and available series

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